Organizing Non-Model Invoked AI Skills: Pros and Cons
Key takeaways
- Modular organization of AI skills can improve system management.
- Separating invocation methods requires careful architectural planning.
- Community input is valuable for complex technical decisions.
- Pros and cons of such an approach need thorough evaluation.
Who benefits
Summary
The post asks for advice on the practice of separating AI skills that are not directly invoked by a model into a distinct folder, to be called upon manually. It seeks insights into the advantages and disadvantages of this architectural approach.
Why it matters
Proper organization and invocation strategies for AI components are crucial for maintainability, scalability, and control in complex AI systems, directly impacting development efficiency and system reliability.
How to implement this in your domain
- 1Evaluate current AI skill organization for modularity and clarity.
- 2Consider creating a separate registry or service for manually invoked AI functions.
- 3Document the invocation methods and dependencies for all AI skills.
- 4Implement clear interfaces for interacting with both model-invoked and non-model-invoked skills.
Original post by @bentossell
"removing skills to be non-model invoked into a separate folder to call when *i choose who's done this? any pros/cons i may have missed?"
View on XOriginally posted by @bentossell on X · view source
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